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ESA Greenhouse Gases Climate Change Initiative (GHG CCI): GOSAT CH4 Full Physics Level 2 Data Product, version 1.0 (CH4_GOS_OCFP) generated with the OCFP (UoL-FP) algorithm

Latest Data Update: 2016-04-05
Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2016-04-11
Download Stats: last 12 months
Dataset Size: 2.01K Files | 2GB

This dataset has been superseded. See Latest Version here

Part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project and the Climate Research Data Package Number 3 (CRDP#3), the XCH4 GOS Full Physics product comprises a level 2, column-averaged dry-air mole fraction (mixing ratio) for methane (CH4). The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT).

This version of the full physics product (version 1.0) has been generated using the OCFP University of Leicester Full-Physics Methane Retrieval Algorithm, based on the original Orbiting Carbon Observatory (OCO) Full Physics Retrieval Algorithm and modified for use on GOSAT spectra baseline algorithm. This algorithm has been designated as an 'alternative' algorithm for the GHG CCI full physics methane retrievals. A second product has also been generated from the TANSO-FTS data by applying the baseline GHG CCI full physics algorithm, the RemoTeC SRFP algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use the baseline product generated with the SRFP baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.

The product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further details on the product, including the UoL-FP algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section.

The GHG-CCI team encourage all users of their products to register with them to receive information on any updates or issues regarding the data products and to receive notification of new product releases. To register, please use the following link:

Citable as:  ESA CCI GHG project team (2016): ESA Greenhouse Gases Climate Change Initiative (GHG CCI): GOSAT CH4 Full Physics Level 2 Data Product, version 1.0 (CH4_GOS_OCFP) generated with the OCFP (UoL-FP) algorithm. Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: ESA, GHG, CCI, CH4, Proxy, Greenhouse Gas


Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project

File Format:
Data are in NetCDF format

Process overview

  • units: K
  • long_name: air_temperature_apriori
  • var_id: air_temperature_apriori
  • units: 1
  • long_name: aod_type1
  • var_id: aod_type1
  • units: 1
  • long_name: aod_type2
  • var_id: aod_type2
  • units: 1e-9
  • var_id: ch4_profile_apriori
  • long_name: ch4_profile_apriori
  • units: 1
  • long_name: cirrus
  • var_id: cirrus
  • units: 1e-6
  • var_id: co2_profile_apriori
  • long_name: co2_profile_apriori
  • units: 1
  • long_name: exposure_id
  • var_id: exposure_id
  • units: 1
  • long_name: gain
  • var_id: gain
  • units: 1e-6
  • long_name: h2o_profile_apriori
  • var_id: h2o_profile_apriori
  • units: hPa
  • var_id: pressure_levels
  • long_name: pressure_levels
  • units: 1
  • var_id: pressure_weight
  • long_name: pressure_weight
  • units: 1
  • long_name: retr_flag
  • var_id: retr_flag
  • units: degree
  • standard_name: sensor_zenith_angle
  • var_id: sensor_zenith_angle
  • long_name: sensor_zenith_angle
  • units: degree
  • var_id: solar_zenith_angle
  • standard_name: solar_zenith_angle
  • long_name: solar_zenith_angle
  • units: hPa
  • long_name: surface_air_pressure_apriori
  • var_id: surface_air_pressure_apriori
  • units: hPa
  • long_name: surface_air_pressure_apriori_std
  • var_id: surface_air_pressure_apriori_std
  • units: m
  • standard_name: surface_altitude
  • var_id: surface_altitude
  • long_name: surface_altitude
  • units: m
  • long_name: surface_altitude_stdev
  • var_id: surface_altitude_stdev
  • units: 1
  • long_name: total_aod
  • var_id: total_aod
  • units: 1e-9
  • var_id: xch4
  • long_name: xch4
  • units: 1
  • var_id: xch4_averaging_kernel
  • long_name: xch4_averaging_kernel
  • units: 1
  • var_id: xch4_quality_flag
  • long_name: xch4_quality_flag
  • units: 1e-9
  • var_id: xch4_uncertainty
  • long_name: xch4_uncertainty

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • long_name: latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • long_name: longitude
  • long_name: time
  • standard_name: time
  • var_id: time
Temporal Range
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